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Artificial Intelligence (AI) and Machine Learning (ML) have become transformative technologies across various industries. To keep up with the fast-paced advancements in the field, professionals and enthusiasts alike seek comprehensive training courses that provide in-depth knowledge and hands-on experience. In this article, we have curated a list of 100 training courses on AI and ML, covering various topics, skill levels, and application areas. Whether you are a beginner or an experienced practitioner, these courses will help you stay at the forefront of AI and ML developments.
Distributed Fast Fourier Transform in TensorFlow
Posted by Ruijiao Sun, Google Intern – DTensor team Fast Fourier Transform is an important method of signal processing, which is commonly used in a…
Tokenizers: How machines read
We will cover often-overlooked concepts vital to NLP, such as Byte Pair Encoding, and discuss how understanding them leads to better models.
PyJanitor Book Open Source Development
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Empowering Data Science: The Top 50 Data Tools and Libraries for Efficient Analysis and Visualization
Data science is an ever-evolving field that relies heavily on data tools and libraries to process, analyze, and visualize massive datasets. As the demand for data-driven insights continues to grow, data scientists need powerful tools and libraries that can handle complex computations efficiently. In this article, we will explore the top 50 data tools and libraries for data science, based on information from various sources such as Analytics Insight, Simplilearn, and DataCamp.